Energy utilization efficiency evaluation model of refining unit Based on Contourlet neural network optimized by improved grey optimization algorithm

Abstract Currently the total energy demand quantity is already larger than the total supply quantity, and the structural contradiction is serious, how to improve energy utilization efficiency of petrochemical enterprises is a problem that should be solved quickly. In order to correctly evaluate the energy utilization efficiency of refinery and petrochemical enterprises, the construction method of constructing energy utilization efficiency evaluation model of refining unit in petrochemical enterprises is established based on proposed Contourlet neural network optimized by improved grey algorithm. The energy utilization efficiency evaluation index system is confirmed considering its impacts. The Contourlet neural network is constructed through using Contourlet as excitation function to improve the evaluation precision. The nonlinear change strategy of controlling parameter a of traditional grey wolf optimization algorithm is proposed, the Cubic chaotic value is used as the perturbation operator of location of grey wolf to generate the new solution, and the individual memory function of Cuckoo algorithm is introduced to improve the location updating algorithm, and then the improved grey wolf optimization algorithm has better global optimization capability that is used to optimize the parameters of Contourlet neural network. The evaluation analysis of energy utilization efficiency for 250 devices for removing sulphur alcohol of liquefied gas is carried out. Results show that the proposed evaluation model has best evaluation efficiency and precision. In addition, the proposed evaluation model has highest evaluation precision of energy utilization efficiency of refinery and petrochemical enterprises. The evaluation results can effectively evaluate the energy utilization level of petrochemical enterprises, which can offer favorable theoretical basis of establishing the energy saving measurements for petrochemical enterprises.

[1]  Simon Laflamme,et al.  Adaptive wavelet neural network for terrestrial laser scanner-based crack detection , 2018, Automation in Construction.

[2]  Neeraj Kumar Singh,et al.  A novel hybrid GWO-SCA approach for optimization problems , 2017 .

[3]  Qunxiong Zhu,et al.  Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes , 2018, Energy.

[4]  Qunxiong Zhu,et al.  Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries , 2018, Energy Conversion and Management.

[5]  Qunxiong Zhu,et al.  Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes , 2017 .

[6]  Will Perkins,et al.  Counting independent sets in cubic graphs of given girth , 2018, J. Comb. Theory, Ser. B.

[7]  Beyzanur Cayir Ervural,et al.  A two-stage analytical approach to assess sustainable energy efficiency , 2018, Energy.

[8]  Madhav J. Nigam,et al.  A hybrid grey wolf optimizer and artificial bee colony algorithm for enhancing the performance of complex systems , 2018, J. Comput. Sci..

[9]  Deep Gupta,et al.  Nonsubsampled contourlet domain visible and infrared image fusion framework for fire detection using pulse coupled neural network and spatial fuzzy clustering , 2018, Fire Safety Journal.

[10]  Julien Marot,et al.  Mixed grey wolf optimizer for the joint denoising and unmixing of multispectral images , 2019, Appl. Soft Comput..

[11]  D. M. Vinod Kumar,et al.  Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction , 2018, Energy Conversion and Management.

[12]  Morten Nielsen,et al.  Stylometry of paintings using hidden Markov modelling of contourlet transforms , 2013, Signal Process..

[13]  Traian Ceausu,et al.  On (h, k, μ, ν)-trichotomy of discrete linear systems , 2018, Electron. Notes Discret. Math..

[14]  Imran Allie.  Oddness to resistance ratios in cubic graphs , 2019, Discret. Math..

[15]  J. Anitha,et al.  Optimum laplacian wavelet mask based medical image using hybrid cuckoo search - grey wolf optimization algorithm , 2017, Knowl. Based Syst..

[16]  Qunxiong Zhu,et al.  Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP , 2017 .

[17]  Mario E Serrano,et al.  Energy evaluation of low-level control in UAVs powered by lithium polymer battery. , 2017, ISA transactions.

[18]  F. Ertem,et al.  Impacts of Demand-Driven Energy Production Concept on the Heat Utilization Efficiency at Biogas Plants: Heat Waste and Flexible Heat Production , 2018 .

[19]  Rodrigo Llopis,et al.  Energy evaluation of R152a as drop in replacement for R134a in cascade refrigeration plants , 2017 .

[20]  Yang Li,et al.  Research on intelligent cognitive function enhancement of intelligent robot based on ant colony algorithm , 2019, Cognitive Systems Research.

[21]  Hossam Faris,et al.  Natural selection methods for Grey Wolf Optimizer , 2018, Expert Syst. Appl..

[22]  A. Biswas,et al.  Optical solitons with anti-cubic nonlinearity by mapping methods , 2018, Optik.

[23]  Sirisha Adamala,et al.  Temperature based generalized wavelet-neural network models to estimate evapotranspiration in India , 2017 .

[24]  Andreas Jossen,et al.  Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis , 2018 .

[25]  Yoshinobu Sato,et al.  Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and Spherical Harmonics , 2017, Comput. Methods Programs Biomed..

[26]  Paulo Amorim,et al.  Shearlet and contourlet transforms for analysis of electrocardiogram signals , 2018, Comput. Methods Programs Biomed..

[27]  Filomena Ferrucci,et al.  Speed up genetic algorithms in the cloud using software containers , 2019, Future Gener. Comput. Syst..

[28]  U. Rajendra Acharya,et al.  Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal , 2017, Knowl. Based Syst..

[29]  Gang Xu,et al.  Reprint of: On convergence analysis of particle swarm optimization algorithm , 2018, J. Comput. Appl. Math..

[30]  Francesc Hernández-Sancho,et al.  A data analysis approach to evaluate the impact of the capacity utilization on the energy consumption of wastewater treatment plants , 2019, Sustainable Cities and Society.

[31]  Jaime Lloret Mauri,et al.  Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks , 2018, Comput. Electr. Eng..

[32]  Makarand M. Lokhande,et al.  Grey wolf algorithm for multidimensional engine optimization of converted plug-in hybrid electric vehicle , 2018 .

[33]  Oscar Castillo,et al.  A fuzzy hierarchical operator in the grey wolf optimizer algorithm , 2017, Appl. Soft Comput..

[34]  Junghui Chen,et al.  Development of energy efficiency principal component analysis model for factor extraction and efficiency evaluation in large‐scale chemical processes , 2018, International Journal of Energy Research.

[35]  Rizwan Ahmed Ansari,et al.  A Comparative Evaluation of Denoising of Remotely Sensed Images Using Wavelet, Curvelet and Contourlet Transforms , 2016, Journal of the Indian Society of Remote Sensing.

[36]  T. Ramakrishnan,et al.  A professional estimate on the computed tomography brain tumor images using SVM-SMO for classification and MRG-GWO for segmentation , 2017, Pattern Recognit. Lett..

[37]  Jing Wang,et al.  An energy efficiency evaluation method of distributed CCHP system based on attribute theory for optimal investment strategy , 2018 .

[38]  F. Chejne,et al.  Energy evaluation of pelletized mixtures of IWTP sludge and coal-fired boiler ashes by co-combustion: Identification of synergistic effects , 2017 .

[39]  Soheil Ganjefar,et al.  Variable structure fuzzy wavelet neural network controller for complex nonlinear systems , 2018, Appl. Soft Comput..

[40]  B. Eswara Reddy,et al.  Cuckoo inspired fast search algorithm for fractal image encoding , 2018, J. King Saud Univ. Comput. Inf. Sci..

[41]  Andreas Sumper,et al.  A model for an economic evaluation of energy systems using TRNSYS , 2018 .

[42]  Jie Yu,et al.  Study on stealth characteristics of metamaterials based on simulated annealing algorithm , 2018, IIKI.